More
orderswith AI Autocomplete
Today
- Type a word
- 37 pints
- Type a word
- Pick one of 10 guesses
- Scroll 37 pints
- Check out
with AI Autocomplete
- Guided search
- 3 perfect pints
- Guided search
- Targeted pints
- Check out
Connected to your shelves
Better search = more orders from the same catalog.
Typing “ice cream” into a convenience-store search drops a list of guesses out of it: “ice cream bars”, “ice cream ben & jerry's”, “ice cream non dairy”. Every one of them is another search to run, and behind them is a shelf of pints to scroll. The questions on the right run over that shelf instead: price, flavor, and whether it is classic, non-dairy or lighter. A shopper who can say “ice cream under $6, vanilla, lighter” gets to a pint and checks out faster than one who picked a word and started scrolling, and AI Autocomplete gets them there using the attributes already on your own shelf.
Your Gopuff shelf
AI Autocomplete choices
PriceUp to $6FlavorVanillaDietary tagsLighterYour product data becomes the vocabulary shoppers use to say what they actually want.
How it works
Quick to add. Works with the search box and the catalog you already have.
01
Connect your catalog
Give AI Autocomplete access to the prices, flavors, dietary tags and product attributes already on every shelf.
02
Guide shoppers as they type
AI Autocomplete predicts the details that matter next and shows relevant choices right inside the search box.
03
Send a richer query to your search
Pass the shopper's text and selected attributes into your existing search, Algolia, or a custom backend.
AI Autocomplete works with your search provider.
It only takes five minutes to set up.
- Your existing search
- Algolia
- Custom search backend
The SDK
What is the AI Autocomplete SDK?
AI Autocomplete supercharges your text box. It is an SDK you drop into the search box or prompt box you already have, and it starts guiding people through what they actually meant.
The goal of AI Autocomplete is to hand a more complete phrase to the next step of your stack (your search provider or agent). It is powered by an intent layer: an action engine that pairs the reasoning of an LLM with detection that lands in 150 to 200 ms, so the guidance appears while someone is still typing rather than after they submit.
Drops into the box you have
No migration and no replatform. Your search, your models and your pipeline stay exactly where they are.
Completes the request, not the phrase
Ordinary autocomplete finishes a word. This resolves the attributes the person never said out loud, inside the box, before submit.
150 to 200 ms detection
Fast enough to keep up with typing, so the help arrives in the moment it is useful rather than a beat too late.